TH1.P6.1

COMPARATIVE ANALYSIS OF OPEN-SOURCE SAR-BASED FLOOD DATASETS FOR ACCURATE FLOOD EXTENT DELINEATION USING DEEP LEARNING

Ira Karrel San Jose, Sesa Wiguna, Tohoku University, Japan; Marc Wieland, German Aerospace Center, Germany; Bruno Adriano, Erick Mas, Shunichi Koshimura, Tohoku University, Japan
Session:
TH1.P6: RS for Natural Disaster Monitoring and Management: Floods Oral
Track:
Special Scientific Themes
Location:
Plaza: Room P6
Presentation Time:
Thursday, 7 August, 08:00 - 08:15
Session Co-Chairs:
Bruno Adriano, Tohoku University and Valeria Satriano, National Research Council
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Session TH1.P6
TH1.P6.1: COMPARATIVE ANALYSIS OF OPEN-SOURCE SAR-BASED FLOOD DATASETS FOR ACCURATE FLOOD EXTENT DELINEATION USING DEEP LEARNING
Ira Karrel San Jose, Sesa Wiguna, Tohoku University, Japan; Marc Wieland, German Aerospace Center, Germany; Bruno Adriano, Erick Mas, Shunichi Koshimura, Tohoku University, Japan
TH1.P6.2: A FIRST EXTENSION OF THE ROBUST SATELLITE TECHNIQUE RST-FLOOD TO SENTINEL-2 DATA FOR THE MAPPING OF FLOODED AREAS: THE CASE OF THE EMILIA ROMAGNA (ITALY) 2023 EVENT
Valeria Satriano, Emanuele Ciancia, Nicola Pergola, National Research Council, Italy; Valerio Tramutoli, University of Basilicata, Italy
TH1.P6.3: ADVANCING INUNDATION MAPPING: HARNESSING L- AND P-BAND SAR DATA FOR ACCURATE FLOOD DETECTION
Bishwajit Dhar, Jeffrey Walker, Monash University, Australia; Brian Ng, The University of Adelaide, Australia; Congying Li, The University of Newcastle, Australia
TH1.P6.4: RESEARCH ON TEMPORAL AND SPATIAL DIFFERENCES IN THE RISK OF RAINSTORM AND FLOOD IN THE MIDDLE AND LOWER REACHES OF THE YANGTZE RIVER
Yunhao He, Lei He, Chengdu University of Information Technology, China; Yuxia Li, University of Electronic Science and Technology, China; Guangsong Yan, Yunnan Provincial Meteorological Bureau, China; Ming Wang, Yuheng Lei, Chengdu University of Information Technology, China
Resources
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